Blog

Insights

AI/ML, Snowflake, and Databricks writing, straight from the field.

  • Building and Serving ML Models in Snowflake

    Why Snowflake for Machine Learning? Let’s be real; a huge number of organizations have their data in Snowflake already. Moving that data out to train models somewhere else, then figuring out how to serve predictions back into Snowflake is a pain, especially when Snowflake’s machine learning capabilities let you build, train, and serve models right…

    Read more →


  • Building AI Apps Just Got Way Easier: Microsoft’s AI Toolkit for VS Code

    If you’ve been curious about building AI-powered applications but felt intimidated by the complexity of setting up models, managing APIs, and juggling different AI platforms, Microsoft just dropped something that might change your mind. The AI Toolkit for VS Code gets a lot of things out of your way and simplifies the process. What’s All…

    Read more →


  • Common AI Implementation Costs

    If you’re thinking about jumping on the AI bandwagon, that could be a smart move. But before you start dreaming about robot assistants handling all your mundane tasks, let’s talk frankly about what this AI adventure is actually going to cost you. Spoiler alert: it’s probably more than you think, but don’t let that scare…

    Read more →